Alan DenAdel

631 total citations
3 papers, 20 citations indexed

About

Alan DenAdel is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Alan DenAdel has authored 3 papers receiving a total of 20 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 1 paper in Artificial Intelligence and 1 paper in Genetics. Recurrent topics in Alan DenAdel's work include RNA modifications and cancer (1 paper), Genetic Associations and Epidemiology (1 paper) and Single-cell and spatial transcriptomics (1 paper). Alan DenAdel is often cited by papers focused on RNA modifications and cancer (1 paper), Genetic Associations and Epidemiology (1 paper) and Single-cell and spatial transcriptomics (1 paper). Alan DenAdel collaborates with scholars based in United States and United Kingdom. Alan DenAdel's co-authors include Lorin Crawford, Daniel Weinreich, Peter Winter, Ava P. Amini, Andrew W. Navia, Alex K. Shalek and Srivatsan Raghavan and has published in prestigious journals such as The American Journal of Human Genetics, G3 Genes Genomes Genetics and Wiley Interdisciplinary Reviews Computational Statistics.

In The Last Decade

Alan DenAdel

3 papers receiving 20 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Alan DenAdel United States	2	7	6	3	2	2	3	20
Charles Borromeo United States	4	11 1.6×	9 1.5×	3 1.0×	1 0.5×		6	26
Jiale He China	4	9 1.3×	4 0.7×	2 0.7×		3 1.5×	6	17
Maksim Shestov United States	4	12 1.7×	6 1.0×	4 1.3×			7	32
Jonathan Romano United States	2	8 1.1×	3 0.5×	2 0.7×			2	15
Mikhail Kolev Bulgaria	3	11 1.6×	4 0.7×	2 0.7×			5	19
Kethi Reddy India	2	4 0.6×	6 1.0×	3 1.0×			2	11
Kenneth Tay United States	2	8 1.1×	3 0.5×	4 1.3×	1 0.5×		2	36
Ryan Bressler United States	4	12 1.7×	5 0.8×	5 1.7×	2 1.0×		6	25
L. Zatkalíková Portugal	2	4 0.6×	7 1.2×	2 0.7×	1 0.5×		5	9
Sergei Yakneen Germany	2	11 1.6×	3 0.5×	3 1.0×	1 0.5×		2	18

Countries citing papers authored by Alan DenAdel

Since Specialization

Citations

This map shows the geographic impact of Alan DenAdel's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Alan DenAdel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan DenAdel more than expected).

Fields of papers citing papers by Alan DenAdel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alan DenAdel. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Alan DenAdel. The network helps show where Alan DenAdel may publish in the future.

Co-authorship network of co-authors of Alan DenAdel

This figure shows the co-authorship network connecting the top 25 collaborators of Alan DenAdel. A scholar is included among the top collaborators of Alan DenAdel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alan DenAdel. Alan DenAdel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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3 of 3 papers shown

1.

DenAdel, Alan, Andrew W. Navia, Alex K. Shalek, et al.. (2025). Artificial variables help to avoid over-clustering in single-cell RNA sequencing. The American Journal of Human Genetics. 112(4). 940–951. 1 indexed citations

2.

DenAdel, Alan, et al.. (2023). Leveraging the genetic correlation between traits improves the detection of epistasis in genome-wide association studies. G3 Genes Genomes Genetics. 13(8). 7 indexed citations

3.

DenAdel, Alan, et al.. (2023). A spectrum of explainable and interpretable machine learning approaches for genomic studies. Wiley Interdisciplinary Reviews Computational Statistics. 15(5). 12 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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